Willis Towers Watson Stock Price Prediction
| WTW Stock | USD 316.65 4.21 1.31% |
Oversold Vs Overbought
68
Oversold | Overbought |
Quarterly Earnings Growth 0.548 | EPS Estimate Next Quarter 7.93 | EPS Estimate Current Year 16.7239 | EPS Estimate Next Year 17.8156 | Wall Street Target Price 333.6316 |
Using Willis Towers hype-based prediction, you can estimate the value of Willis Towers Watson from the perspective of Willis Towers response to recently generated media hype and the effects of current headlines on its competitors.
Willis Towers Watson Hype to Price Pattern
Investor biases related to Willis Towers' public news can be used to forecast risks associated with an investment in Willis. The trend in average sentiment can be used to explain how an investor holding Willis can time the market purely based on public headlines and social activities around Willis Towers Watson. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Willis Towers' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Willis Towers.
The fear of missing out, i.e., FOMO, can cause potential investors in Willis Towers to buy its stock at a price that has no basis in reality. In that case, they are not buying Willis because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Willis Towers after-hype prediction price | USD 316.26 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Willis |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Willis Towers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Willis Towers After-Hype Price Prediction Density Analysis
As far as predicting the price of Willis Towers at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Willis Towers or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Willis Towers, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Willis Towers Estimiated After-Hype Price Volatility
In the context of predicting Willis Towers' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Willis Towers' historical news coverage. Willis Towers' after-hype downside and upside margins for the prediction period are 315.21 and 317.31, respectively. We have considered Willis Towers' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Willis Towers is very steady at this time. Analysis and calculation of next after-hype price of Willis Towers Watson is based on 3 months time horizon.
Willis Towers Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Willis Towers is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Willis Towers backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Willis Towers, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.14 | 1.06 | 0.34 | 0.62 | 11 Events / Month | 6 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
316.65 | 316.26 | 0.12 |
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Willis Towers Hype Timeline
On the 28th of November Willis Towers Watson is traded for 316.65. The entity has historical hype elasticity of -0.34, and average elasticity to hype of competition of -0.62. Willis is anticipated to decline in value after the next headline, with the price expected to drop to 316.26. The average volatility of media hype impact on the company price is about 43.27%. The price depreciation on the next news is expected to be -0.12%, whereas the daily expected return is at this time at 0.14%. The volatility of related hype on Willis Towers is about 23.87%, with the expected price after the next announcement by competition of 316.03. About 95.0% of the company outstanding shares are owned by institutional investors. The book value of Willis Towers was at this time reported as 74.27. The company has Price/Earnings To Growth (PEG) ratio of 1.22. Willis Towers Watson recorded a loss per share of 7.22. The entity last dividend was issued on the 30th of September 2024. The firm had 3775:10000 split on the 5th of January 2016. Considering the 90-day investment horizon the next anticipated press release will be in about 11 days. Check out Willis Towers Basic Forecasting Models to cross-verify your projections.Willis Towers Related Hype Analysis
Having access to credible news sources related to Willis Towers' direct competition is more important than ever and may enhance your ability to predict Willis Towers' future price movements. Getting to know how Willis Towers' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Willis Towers may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MMC | Marsh McLennan Companies | 2.26 | 9 per month | 0.81 | (0.09) | 1.25 | (1.31) | 3.78 | |
| AJG | Arthur J Gallagher | (0.05) | 11 per month | 1.11 | 0.01 | 2.16 | (1.61) | 5.31 | |
| BRO | Brown Brown | (0.83) | 10 per month | 0.96 | 0.04 | 1.88 | (2.06) | 5.25 | |
| ERIE | Erie Indemnity | (36.04) | 9 per month | 0.00 | (0.14) | 2.09 | (3.12) | 10.81 | |
| AON | Aon PLC | 0.52 | 9 per month | 0.48 | 0.09 | 1.43 | (1.19) | 7.95 | |
| FANH | Fanhua Inc | 0.07 | 5 per month | 0.00 | (0.04) | 8.72 | (9.09) | 28.53 | |
| CRVL | CorVel Corp | 2.98 | 9 per month | 1.30 | 0.06 | 3.26 | (2.24) | 13.45 |
Willis Towers Additional Predictive Modules
Most predictive techniques to examine Willis price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Willis using various technical indicators. When you analyze Willis charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Overlap Studies | ||
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| Statistic Functions | ||
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| Volume Indicators |
About Willis Towers Predictive Indicators
The successful prediction of Willis Towers stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Willis Towers Watson, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Willis Towers based on analysis of Willis Towers hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Willis Towers's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Willis Towers's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0123 | 0.0135 | 0.0139 | 0.0244 | Price To Sales Ratio | 3.38 | 3.09 | 2.67 | 1.85 |
Story Coverage note for Willis Towers
The number of cover stories for Willis Towers depends on current market conditions and Willis Towers' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Willis Towers is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Willis Towers' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Willis Towers Short Properties
Willis Towers' future price predictability will typically decrease when Willis Towers' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Willis Towers Watson often depends not only on the future outlook of the potential Willis Towers' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Willis Towers' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 106 M | |
| Cash And Short Term Investments | 1.4 B |
Additional Tools for Willis Stock Analysis
When running Willis Towers' price analysis, check to measure Willis Towers' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Willis Towers is operating at the current time. Most of Willis Towers' value examination focuses on studying past and present price action to predict the probability of Willis Towers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Willis Towers' price. Additionally, you may evaluate how the addition of Willis Towers to your portfolios can decrease your overall portfolio volatility.